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Use of Electroencephalography (EEG) for the Analysis of Emotional Perception and Fear to Nightscapes

Author

Listed:
  • Mintai Kim

    (Landscape Architecture Program, Virginia Tech, Blacksburg, VA 24060, USA)

  • SangHyun Cheon

    (Department of Urban Planning and Design, Hongik University, Seoul 04066, Korea)

  • Youngeun Kang

    (Research Lab, Site Planning Co., Ltd., Busan 48505, Korea)

Abstract

As the necessity for safety and aesthetic of nightscape have arisen, the importance of nightscapes (i.e., nighttime landscape) planning has garnered the attention of mainstream consciousness. Therefore, this study was to suggest the guideline for nightscape planning using electroencephalography (EEG) technology and survey for recognizing the characteristics of a nightscape. Furthermore, we verified the electroencephalography (EEG) method as a tool for landscape evaluation. Therefore, this study analyzed the change of relative alpha wave and relative beta wave and perceived fear of participants depending on twelve nightscape settings (four types of settings: Built nightscape images group with an adult; Built nightscape images groups without an adult; Nature-dominant nightscape images with an adult; and Nature-dominant nightscape images without an adult). Our findings indicate that the most fearful nightscape setting was recorded in Built nightscape images groups without an adult figure in perceived fear result depending on four types of nightscape settings. In Nature-dominant nightscape images, on the other hand, the nightscape setting with an adult figure was more fearful than the setting without an adult. The interaction effect between landscape type (built and nature-dominant) and adult presence towards perceived fear was verified and it showed that the image with adult affects landscape type. For electroencephalography (EEG) results, several brain activities in the relative alpha and beta wave showed significant differences depending on nightscape settings, which situates electroencephalography (EEG) as an invaluable tool for evaluating landscapes. Based on our physiological electroencephalography (EEG) experiment, we provide a new analytic view of the nightscape. The approach we utilized enables a deeper understanding of emotional perception and fear among human subjects by identifying the physical environment which impacts how they experience nightscapes.

Suggested Citation

  • Mintai Kim & SangHyun Cheon & Youngeun Kang, 2019. "Use of Electroencephalography (EEG) for the Analysis of Emotional Perception and Fear to Nightscapes," Sustainability, MDPI, vol. 11(1), pages 1-15, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:1:p:233-:d:194979
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    References listed on IDEAS

    as
    1. Briana N. Berkowitz & Kimberly E. Medley, 2017. "Home Gardenscapes as Sustainable Landscape Management on St. Eustatius, Dutch Caribbean," Sustainability, MDPI, vol. 9(8), pages 1-20, July.
    2. Xueting Jin & Yu Li & Jinzhou Zhang & Ji Zheng & Huiping Liu, 2017. "An Approach to Evaluating Light Pollution in Residential Zones: A Case Study of Beijing," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    3. Li Xu & Shang-Chia Chiou, 2018. "An Exploration of the Cultural Landscape Model of Zhuge Village," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
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    Cited by:

    1. SangHyun Cheon & Soyoung Han & Mintai Kim & Yoonku Kwon, 2019. "Comparison between Daytime and Nighttime Scenery Focusing on Restorative and Recovery Effect," Sustainability, MDPI, vol. 11(12), pages 1-17, June.
    2. Junfang Xie & Binyi Liu & Mohamed Elsadek, 2021. "How Can Flowers and Their Colors Promote Individuals’ Physiological and Psychological States during the COVID-19 Lockdown?," IJERPH, MDPI, vol. 18(19), pages 1-15, September.
    3. Schwanen, Tim, 2020. "Towards decolonial human subjects in research on transport," Journal of Transport Geography, Elsevier, vol. 88(C).
    4. Zijiao Zhang & Kangfu Zhuo & Wenhan Wei & Fu Li & Jie Yin & Liyan Xu, 2021. "Emotional Responses to the Visual Patterns of Urban Streets: Evidence from Physiological and Subjective Indicators," IJERPH, MDPI, vol. 18(18), pages 1-20, September.
    5. Yuting Wang & Shujian Wang & Ming Xu, 2021. "The Function of Color and Structure Based on EEG Features in Landscape Recognition," IJERPH, MDPI, vol. 18(9), pages 1-14, May.

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